Data & AI Architecting Manager

Join our AI Centre of Excellence in Poland, part of a global team of 9,000+ AI experts and data scientists. We partner with leading tech providers (AWS, GCP, Microsoft, Databricks, Snowflake, SAS) to build scalable data solutions that drive real business impact. 

• Lead the design, planning, and execution of on-prem to cloud data migrations, post-merger data integrations, and on-prem data solutions with a focus on scalability, resilience, and regulatory compliance.
• Work hands-on with Python, SQL, and Spark using modern Data & AI platforms (Databricks, Fabric, Snowflake) to automate and optimize complex data workflows.

• Integrate diverse data sources into unified, high-quality datasets supporting advanced analytics and AI solutions.
• Collaborate closely with data architects, analysts, and data scientists to ensure seamless delivery of business-ready insights and value.

• Minimum 5+ years of relevant professional experience in data engineering, AI, or analytics roles.
• Within this experience, at least 2 years of experience in leadership roles
• Proven ability to design, scope, and deliver complex data and AI projects, including Proofs of Concept (PoC) and Proofs of Value (PoV).
• Experience in managing multi-disciplinary Data & AI teams, programs, or product-oriented deliveries.
• Experience in cloud migration projects or hybrid cloud architectures highly appreciated.

• Location: Our headquarters is in Warsaw, with an additional office in Kraków.  

• Flexibility: While most of our work is delivered remotely, our consulting model - through Intelligent Consulting Hub Europe (ICH) - also involves on-site collaboration. You should be willing and able to travel to client locations across Europe (and occasionally beyond) for short or long-term engagements, depending on project needs.  

• Hybrid Collaboration: We value in-person time for learning, relationship-building, and team collaboration. As an employer, we aim to be as flexible as possible to support your individual work-life balance and preferences. 

• Deep understanding of modern cloud and AI platforms (Azure, GCP, AWS, OCI, Databricks, Microsoft Fabric, Snowflake).
• Strong knowledge of on-premises data environments (at least two of: Oracle, MS SQL Server, Teradata, DB2).
• Practical expertise in modern data architecture, including:
  • Medallion architecture, OneLake, and data warehouse concepts
  • Data lineage, orchestration, and containerization (Docker, Kubernetes)
  • Event-driven processing (Kafka)
• Hands-on experience in designing and developing ETL/ELT pipelines (preferred: Azure Fabric, Databricks, Synapse, dbt; also valued: SAS, ODI, Informatica, DataStage, or equivalent).
• Strong background in data modelling (relational, dimensional, or Data Vault).
• Proficiency in SQL and procedural languages (T-SQL, PL/SQL or equivalent).
• Strong coding experience in Python and PySpark with clear, structured coding practices.
• Familiarity with DevOps, CI/CD, and version control (Git, Bitbucket).
• Good understanding of LLM (Large Language Models) concepts, with the ability to apply AI techniques in Data & AI solutions. Experience in building LLM-powered applications is a plus.

Accenture does not discriminate employment candidates on the basis of race, religion, colour, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.

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